Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA

por Lotfata, Aynaz, Georganos, Stefanos
Publicado 2023

Fine-scale mapping of urban malaria exposure under data scarcity: an approach centred on vector ecology

por Vanhuysse, Sabine, Diédhiou, Seynabou Mocote, Grippa, Taïs, Georganos, Stefanos, Konaté, Lassana, Niang, El Hadji Amadou, Wolff, Eléonore
Publicado 2023

Spatial Optimization Methods for Malaria Risk Mapping in Sub‐Saharan African Cities Using Demographic and Health Surveys

por Morlighem, Camille, Chaiban, Celia, Georganos, Stefanos, Brousse, Oscar, van Lipzig, Nicole P. M., Wolff, Eléonore, Dujardin, Sébastien, Linard, Catherine
Publicado 2023

Can we use local climate zones for predicting malaria prevalence across sub-Saharan African cities?

por Brousse, O, Georganos, S, Demuzere, M, Dujardin, S, Lennert, M, Linard, C, Snow, R W, Thiery, W, van Lipzig, N P M
Publicado 2020

Extending Data for Urban Health Decision-Making: a Menu of New and Potential Neighborhood-Level Health Determinants Datasets in LMICs

por Thomson, Dana R., Linard, Catherine, Vanhuysse, Sabine, Steele, Jessica E., Shimoni, Michal, Siri, José, Caiaffa, Waleska Teixeira, Rosenberg, Megumi, Wolff, Eléonore, Grippa, Taïs, Georganos, Stefanos, Elsey, Helen
Publicado 2019

Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators

por Georganos, Stefanos, Brousse, Oscar, Dujardin, Sébastien, Linard, Catherine, Casey, Daniel, Milliones, Marco, Parmentier, Benoit, van Lipzig, Nicole P. M., Demuzere, Matthias, Grippa, Tais, Vanhuysse, Sabine, Mboga, Nicholus, Andreo, Verónica, Snow, Robert W., Lennert, Moritz
Publicado 2020